Weighted Correction Positioning Algorithm Using Maximum Likelihood Estimation in WSN
In order to suppress received signal strength indication (RSSI) errors to the positioning precision of localized nodes in wireless sensor networks, a beacon node weighted correction localization algorithm is proposed based on analytical models of the maximum likelihood estimation and RSSI. With the beacon nodes own positioning capabilities, use the weighted centroid localization algorithm to obtain the positioning error of the region nearby the beacon node. When calculating the coordinates of blind node in this region, this error can be compensated, thereby enhancing the positioning accuracy of blind nodes. The positioning algorithm is easy to be realized without the additional hardware spending. The average error is only about 2m, so it is fit for the positioning of the nodes in wireless sensor network whose operation abilities and power supplies are restricted.
Wireless Sensor Network (WSN) received signal strength indication (RSSI), maximum likelihood estimation beacon node blind node weighted correction
Chen Junjie Ge Wentao Tao Liang
School of instrument science and engineering,Southeast University,Nanjing 210096 China Changzhou Aca School of instrument science and engineering,Southeast University,Nanjing 210096 China
国际会议
厦门
英文
743-749
2010-05-22（万方平台首次上网日期，不代表论文的发表时间）